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How can we estimate the causal effect of mobility on COVID-19 when there could be many confounding variables?
By Matteo Bonvini, Edward Kennedy, Valérie Ventura, and Larry Wasserman
Delphi’s symptom surveys reveal rates of mask use across the country. But do they really show that the vast majority of people wear masks?
#symptom surveys #COVIDcast #R
By Alex Reinhart
In previous posts, we discussed our massive ongoing symptom surveys that have reached over 12 million people in the U.S. since April 2020, in …
#medical records #COVIDcast #R
By Aaron Rumack and Roni Rosenfeld
Beginning on September 8, 2020, we deployed a new version of our symptom survey. Facebook helps us recruit tens of thousands of respondents daily, and …
#symptom surveys #COVIDcast #R
By Alex Reinhart
One of our primary initiatives at the Delphi COVIDcast project has been to curate a diverse set of COVID-related data streams, and to make them freely …
#COVIDcast API #COVIDcast #R #Python
By Kathryn Mazaitis and Alex Reinhart
Building on our previous two posts (on our COVID-19 symptom surveys through Facebook and Google) this post offers a deeper dive into empirical …
#symptom surveys #forecasting #COVIDcast #R
By Ryan Tibshirani
Since April 2020, in addition to our massive daily survey advertised on Facebook, we’ve been running (even-more-massive) surveys through Google …
#symptom surveys #COVIDcast #R
By Ryan Tibshirani
Since April 2020, in collaboration with Facebook, partner universities, and public health officials, we’ve been conducting a massive daily …
#symptom surveys #COVIDcast #R
By Alex Reinhart and Ryan Tibshirani
Hello from the Delphi research group at Carnegie Mellon University! We’re a group of faculty, students, and staff, based primarily out of CMU …
By Roni Rosenfeld and Ryan Tibshirani